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Adapted performance-critical iterations in graph utility to the iterator formulation with less overhead. 

Former-commit-id: 44bf732bb4
tempestpy_adaptions
dehnert 11 years ago
parent
41cb1a8227
commit
5e12a65d67
1 changed files with 30 additions and 30 deletions
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  1. 60
      src/utility/graph.h

60
src/utility/graph.h
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@ -210,17 +210,17 @@ namespace storm {
stepStack.pop_back();
}
for (auto const& entry : backwardTransitions.getRow(currentState)) {
if (phiStates.get(entry.first) && (!statesWithProbabilityGreater0.get(entry.first) || (useStepBound && remainingSteps[entry.first] < currentStepBound - 1))) {
for (typename storm::storage::SparseMatrix<T>::const_iterator entryIt = backwardTransitions.begin(currentState), entryIte = backwardTransitions.end(currentState); entryIt != entryIte; ++entryIt) {
if (phiStates.get(entryIt->first) && (!statesWithProbabilityGreater0.get(entryIt->first) || (useStepBound && remainingSteps[entryIt->first] < currentStepBound - 1))) {
// If we don't have a bound on the number of steps to take, just add the state to the stack.
if (!useStepBound) {
statesWithProbabilityGreater0.set(entry.first, true);
stack.push_back(entry.first);
statesWithProbabilityGreater0.set(entryIt->first, true);
stack.push_back(entryIt->first);
} else if (currentStepBound > 0) {
// If there is at least one more step to go, we need to push the state and the new number of steps.
remainingSteps[entry.first] = currentStepBound - 1;
statesWithProbabilityGreater0.set(entry.first, true);
stack.push_back(entry.first);
remainingSteps[entryIt->first] = currentStepBound - 1;
statesWithProbabilityGreater0.set(entryIt->first, true);
stack.push_back(entryIt->first);
stepStack.push_back(currentStepBound - 1);
}
}
@ -289,14 +289,14 @@ namespace storm {
currentState = stack.back();
stack.pop_back();
for (auto const& predecessorEntry : backwardTransitions.getRow(currentState)) {
if (phiStates.get(predecessorEntry.first) && !nextStates.get(predecessorEntry.first)) {
for (typename storm::storage::SparseMatrix<T>::const_iterator predecessorEntryIt = backwardTransitions.begin(currentState), predecessorEntryIte = backwardTransitions.end(currentState); predecessorEntryIt != predecessorEntryIte; ++predecessorEntryIt) {
if (phiStates.get(predecessorEntryIt->first) && !nextStates.get(predecessorEntryIt->first)) {
// Check whether the predecessor has only successors in the current state set for one of the
// nondeterminstic choices.
for (auto row = nondeterministicChoiceIndices[predecessorEntry.first]; row < nondeterministicChoiceIndices[predecessorEntry.first + 1]; ++row) {
for (uint_fast64_t row = nondeterministicChoiceIndices[predecessorEntryIt->first]; row < nondeterministicChoiceIndices[predecessorEntryIt->first + 1]; ++row) {
bool allSuccessorsInCurrentStates = true;
for (auto const& targetEntry : transitionMatrix.getRow(row)) {
if (!currentStates.get(targetEntry.first)) {
for (typename storm::storage::SparseMatrix<T>::const_iterator successorEntryIt = transitionMatrix.begin(row), successorEntryIte = transitionMatrix.end(row); successorEntryIt != successorEntryIte; ++successorEntryIt) {
if (!currentStates.get(successorEntryIt->first)) {
allSuccessorsInCurrentStates = false;
break;
}
@ -306,8 +306,8 @@ namespace storm {
// add it to the set of states for the next iteration and perform a backward search from
// that state.
if (allSuccessorsInCurrentStates) {
nextStates.set(predecessorEntry.first, true);
stack.push_back(predecessorEntry.first);
nextStates.set(predecessorEntryIt->first, true);
stack.push_back(predecessorEntryIt->first);
break;
}
}
@ -400,15 +400,15 @@ namespace storm {
stepStack.pop_back();
}
for(auto const& predecessorEntry : backwardTransitions.getRow(currentState)) {
if (phiStates.get(predecessorEntry.first) && (!statesWithProbabilityGreater0.get(predecessorEntry.first) || (useStepBound && remainingSteps[predecessorEntry.first] < currentStepBound - 1))) {
for(typename storm::storage::SparseMatrix<T>::const_iterator predecessorEntryIt = backwardTransitions.begin(currentState), predecessorEntryIte = backwardTransitions.end(currentState); predecessorEntryIt != predecessorEntryIte; ++predecessorEntryIt) {
if (phiStates.get(predecessorEntryIt->first) && (!statesWithProbabilityGreater0.get(predecessorEntryIt->first) || (useStepBound && remainingSteps[predecessorEntryIt->first] < currentStepBound - 1))) {
// Check whether the predecessor has at least one successor in the current state set for every
// nondeterministic choice.
bool addToStatesWithProbabilityGreater0 = true;
for (auto row = nondeterministicChoiceIndices[predecessorEntry.first]; row < nondeterministicChoiceIndices[predecessorEntry.first + 1]; ++row) {
for (uint_fast64_t row = nondeterministicChoiceIndices[predecessorEntryIt->first]; row < nondeterministicChoiceIndices[predecessorEntryIt->first + 1]; ++row) {
bool hasAtLeastOneSuccessorWithProbabilityGreater0 = false;
for (auto const& successorEntry : transitionMatrix.getRow(row)) {
if (statesWithProbabilityGreater0.get(successorEntry.first)) {
for (typename storm::storage::SparseMatrix<T>::const_iterator successorEntryIt = transitionMatrix.begin(row), successorEntryIte = transitionMatrix.end(row); successorEntryIt != successorEntryIte; ++successorEntryIt) {
if (statesWithProbabilityGreater0.get(successorEntryIt->first)) {
hasAtLeastOneSuccessorWithProbabilityGreater0 = true;
break;
}
@ -424,13 +424,13 @@ namespace storm {
if (addToStatesWithProbabilityGreater0) {
// If we don't have a bound on the number of steps to take, just add the state to the stack.
if (!useStepBound) {
statesWithProbabilityGreater0.set(predecessorEntry.first, true);
stack.push_back(predecessorEntry.first);
statesWithProbabilityGreater0.set(predecessorEntryIt->first, true);
stack.push_back(predecessorEntryIt->first);
} else if (currentStepBound > 0) {
// If there is at least one more step to go, we need to push the state and the new number of steps.
remainingSteps[predecessorEntry.first] = currentStepBound - 1;
statesWithProbabilityGreater0.set(predecessorEntry.first, true);
stack.push_back(predecessorEntry.first);
remainingSteps[predecessorEntryIt->first] = currentStepBound - 1;
statesWithProbabilityGreater0.set(predecessorEntryIt->first, true);
stack.push_back(predecessorEntryIt->first);
stepStack.push_back(currentStepBound - 1);
}
}
@ -500,13 +500,13 @@ namespace storm {
currentState = stack.back();
stack.pop_back();
for(auto const& predecessorEntry : backwardTransitions.getRow(currentState)) {
if (phiStates.get(predecessorEntry.first) && !nextStates.get(predecessorEntry.first)) {
for(typename storm::storage::SparseMatrix<T>::const_iterator predecessorEntryIt = backwardTransitions.begin(currentState), predecessorEntryIte = backwardTransitions.end(currentState); predecessorEntryIt != predecessorEntryIte; ++predecessorEntryIt) {
if (phiStates.get(predecessorEntryIt->first) && !nextStates.get(predecessorEntryIt->first)) {
// Check whether the predecessor has only successors in the current state set for all of the
// nondeterminstic choices.
bool allSuccessorsInCurrentStatesForAllChoices = true;
for (auto const& successorEntry : transitionMatrix.getRows(nondeterministicChoiceIndices[predecessorEntry.first], nondeterministicChoiceIndices[predecessorEntry.first + 1] - 1)) {
if (!currentStates.get(successorEntry.first)) {
for (typename storm::storage::SparseMatrix<T>::const_iterator successorEntryIt = transitionMatrix.begin(nondeterministicChoiceIndices[predecessorEntryIt->first]), successorEntryIte = transitionMatrix.begin(nondeterministicChoiceIndices[predecessorEntryIt->first + 1]); successorEntryIt != successorEntryIte; ++successorEntryIt) {
if (!currentStates.get(successorEntryIt->first)) {
allSuccessorsInCurrentStatesForAllChoices = false;
goto afterCheckLoop;
}
@ -517,8 +517,8 @@ namespace storm {
// add it to the set of states for the next iteration and perform a backward search from
// that state.
if (allSuccessorsInCurrentStatesForAllChoices) {
nextStates.set(predecessorEntry.first, true);
stack.push_back(predecessorEntry.first);
nextStates.set(predecessorEntryIt->first, true);
stack.push_back(predecessorEntryIt->first);
}
}
}

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